Students were tasked with researching and analyzing the causes and impacts of delays for A-Division trains in the subway system
during 2011-2013 Monday morning rush hours. Their findings and analysis include various ways of defining a delay and represent both
a micro and macro view of the system. They used datasets representing various aspects of delays within the system, including metrics
such as cause of delay, duration, location, and frequency for trains within the A-Division.